{"id":"W7131251982","doi":"10.25549/wpacards-ouc11578973","title":"WPA household census for 232 SOUTH HICKS STREET, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589963,0.001181723,0.001045324,0.003215792,0.0005744428,0.001860932,0.001385855,0.0004917078,0.08046686],"category_scores_gemma":[0.004064096,0.0005705634,0.000503384,0.009201868,0.0001820631,0.001201171,0.0009441228,0.001429914,0.08302493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841103,"about_ca_system_score_gemma":0.00366346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.12917,"about_ca_topic_score_gemma":0.1412662,"domain_scores_codex":[0.9992236,0.0001013987,0.0001077033,0.0002171793,0.0002539844,0.00009618973],"domain_scores_gemma":[0.9978148,0.0002607806,0.0002215656,0.000229122,0.001321414,0.0001523428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007098775,0.0000053658,0.0006744782,0.0001138685,0.000007087242,0.000006613846,0.00001206182,0.00004655399,0.000007692797,0.0002483767,0.9973435,0.001527346],"study_design_scores_gemma":[0.00005879316,0.000006462282,0.01522295,0.0003133368,0.00001859791,0.00002770198,0.0001776943,0.0001918797,0.0000630847,0.0005081231,0.9833955,0.00001588959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001202117,0.00005244548,0.00004045803,0.00004447108,0.00001451341,0.000009449685,0.9983729,0.00004186613,0.001303704],"genre_scores_gemma":[0.0005622606,0.0001460727,0.0001510415,0.00003964181,0.00001158404,0.0001117218,0.9962342,0.00003780376,0.002705585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.12917,"threshold_uncertainty_score":0.2691885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525902432580918,"score_gpt":0.1745085422004959,"score_spread":0.1592495178746867,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}